Devstral 2 vs GPT-4 Turbo
Compare Mistral AI and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Devstral 2
GPT-4 Turbo
Cost Differences
GPT-4 Turbo costs more than Devstral 2
Feature Comparison
| Feature | Devstral 2 | GPT-4 Turbo |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input Price | $0.40/1M tokens | $10.00/1M tokens |
| Output Price | $2.00/1M tokens | $30.00/1M tokens |
| Context Window | 262,144 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 4,096 tokens |
| Category | efficient | flagship |
| Capabilities | textcode | textvisioncode |
| Release Date | 12/9/2025 | 4/9/2024 |
Devstral 2 vs GPT-4 Turbo: Which Should You Choose?
Choosing between Devstral 2 and GPT-4 Turbo depends on your priorities: cost efficiency, context length, or raw capability. Devstral 2 is the more affordable option at $0.40/1M input tokens — 96% cheaper than GPT-4 Turbo. Meanwhile, Devstral 2 offers a significantly larger context window at 262,144 tokens vs 128,000 for GPT-4 Turbo.
These models come from different providers — Mistral AI and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Mistral AI, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Devstral 2 is a efficient model while GPT-4 Turbo is flagship. This means they're optimized for different workloads. GPT-4 Turbo targets more demanding workloads, while Devstral 2 provides a cost-effective option for everyday tasks.
Output costs matter too. Devstral 2 charges $2.00/1M output tokens vs $30.00 for GPT-4 Turbo. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Devstral 2 has the edge here at $2.00/1M output tokens.
Multimodal capabilities: GPT-4 Turbo supports vision (image inputs) while Devstral 2 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Devstral 2 when:
- • Budget is a primary concern
- • You need a larger context window (262,144 tokens)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose GPT-4 Turbo when:
- • You need more capabilities (vision)
- • You're already using OpenAI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Devstral 2 (Mistral AI)
GPT-4 Turbo (OpenAI)
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